{"id":"W1800980476","doi":"10.1120/jacmp.v12i1.3424","title":"Dosimetry of oblique tangential photon beams calculated by superposition/convolution algorithms: a Monte Carlo evaluation","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital; Princess Margaret Cancer Centre; University of Toronto; Toronto Metropolitan University; University Health Network","funders":"","keywords":"Imaging phantom; Monte Carlo method; Dosimetry; Ionization chamber; Physics; Photon; Isocenter; Nuclear medicine; Beam (structure); Convolution (computer science); Absorbed dose; Optics; Computational physics; Materials science; Radiation; Mathematics; Computer science; Medicine; Ionization; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001512995,0.0003881525,0.0004580144,0.0008760906,0.0003059717,0.0005840331,0.0004842087,0.0004820241,0.0009334966],"category_scores_gemma":[0.003385139,0.0003387897,0.0007283429,0.001264391,0.0003426993,0.0004176262,0.0004890537,0.000352632,0.0001310187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009588909,"about_ca_system_score_gemma":0.0008394763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005562712,"about_ca_topic_score_gemma":0.00350277,"domain_scores_codex":[0.9993315,0.0001771768,0.00004316205,0.00005472698,0.0003511857,0.00004235832],"domain_scores_gemma":[0.9975035,0.001542583,0.0002155493,0.000234772,0.0004606289,0.0000428867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004499489,0.00009504426,0.01330895,0.0001795487,0.00009516725,0.00008664523,0.0002379988,0.8814301,0.02069488,0.004534285,0.0003191084,0.07856827],"study_design_scores_gemma":[0.00001258164,0.0001124823,0.002905635,0.00001264059,0.00003234665,0.0001055123,0.00001843918,0.9825293,0.01320823,0.0004917544,0.0005511491,0.00001993808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5142508,0.001068152,0.4778854,0.00009927635,0.00002126482,0.0001822796,0.0001490258,0.0008208113,0.005522996],"genre_scores_gemma":[0.8576483,0.000426033,0.140499,0.00002991761,0.000006434078,0.00008598986,0.0001454177,0.0001573385,0.001001657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005562712,"threshold_uncertainty_score":0.01106071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411842248236325,"score_gpt":0.3518112346572924,"score_spread":0.3376928121749291,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}